Taphonomic variation in vascular remains from Mesozoic non-avian dinosaurs DOI Creative Commons
Mary H. Schweitzer, Wenxia Zheng, Edwin Dickinson

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 5, 2025

Abstract The identity and source of flexible, semi-transparent, vascular-like components recovered from non-avian dinosaur bone are debated, because: (1) such preservation is not predicted by degradation models; (2) taphonomic mechanisms for this type well defined; (3) although support molecular endogeneity has been demonstrated in select specimens, comparable data lacking on a broader scale. Here, we use suite micromorphological techniques to examine vessel-like material the skeletal remains six dinosaurs, representing different taxa, depositional environments geological ages, compare obtained our analyses against vessels liberated extant ostrich bone. results in-depth, multi-faceted study present strong fossil-derived vessels, also detect evidence invasive microorganisms.

Language: Английский

CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks DOI Creative Commons
Basim Ahmad Alabsi, Mohammed Anbar,

Shaza Dawood Ahmed Rihan

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(14), P. 6507 - 6507

Published: July 19, 2023

The Internet of Things (IoT) has brought significant advancements that have connected our world more closely than ever before. However, the growing number devices also increased vulnerability IoT networks to several types attacks. In this paper, we present an approach for detecting attacks on using a combination two convolutional neural (CNN-CNN). first CNN model is leveraged select features contribute attack detection from raw data network traffic. second utilizes identified by build robust accurately detects proposed evaluated BoT 2020 dataset. results reveal achieves 98.04% accuracy, 98.09% precision, 99.85% recall, 98.96% and 1.93% false positive rate (FPR). Furthermore, compared with other deep learning algorithms feature selection methods; show it outperforms these algorithms.

Language: Английский

Citations

44
On the concepts and measures of diversity in the genomics era DOI Creative Commons

K. K. Kanaka,

Nidhi Sukhija,

Rangasai Chandra Goli

et al.

Current Plant Biology, Journal Year: 2023, Volume and Issue: 33, P. 100278 - 100278

Published: Jan. 1, 2023

Diversity serves as the foundation for breeding and evolution. In science of genomics, investigation genetic variation has long been a prominent subject. Researchers now have access to previously unheard volumes data, thanks development new genomic technologies which allow them thoroughly examine complexity variation. As result, definitions measurements diversity created, taking into consideration things like how is distributed throughout populations, impact natural selection, connection between phenotypic diversity. One crucial idea "genetic ancestry" describes percentage person's composition that may be linked particular ancestral populations. Heterozygosity, measures degree within population, another indicator Recent developments in genomics resulted creation tools methodologies examining addition these conventional measurements. Generally, area research rapidly changing age, with theories being created on regular basis. The origins effects are expected continue revealed our knowledge deepens, substantial ramifications human health, evolutionary biology, variety other domains.

Language: Английский

Citations

34
A genome-wide association study reveals the relationship between human genetic variation and the nasal microbiome DOI Creative Commons
Xiaomin Liu, Xin Tong, Leying Zou

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: Jan. 30, 2024

Abstract The nasal cavity harbors diverse microbiota that contributes to human health and respiratory diseases. However, whether what extent the host genome shapes microbiome remains largely unknown. Here, by dissecting metagenome data from 1401 healthy individuals, we demonstrated top three genetic principal components strongly correlated with diversity composition. association analyses identified 63 genome-wide significant loci affecting microbial taxa functions, of which 2 reached study-wide significance ( p < 1.7 × 10 -10 ): rs73268759 within CAMK2A associated genus Actinomyces family Actinomycetaceae; rs35211877 near POM121L12 Gemella asaccharolytica . In addition respiratory-related diseases, are mainly implicated in cardiometabolic or neuropsychiatric Functional analysis showed genes were most significantly expressed airway epithelium tissue enriched calcium signaling hippo pathway. Further observational correlation Mendelian randomization consistently suggested causal effects Serratia grimesii Yokenella regensburgei on biomarkers (cystine, glutamic acid, creatine). This study plays an important role shaping microbiome.

Language: Английский

Citations

10
Specific surface area (SSA) of perovskites with uncertainty estimation approach DOI Creative Commons
Zied Hosni, Sofiene Achour,

Fatma Saâdi

et al.

Computational Materials Science, Journal Year: 2025, Volume and Issue: 249, P. 113668 - 113668

Published: Jan. 9, 2025

Language: Английский

Citations

1
Critical evaluation of feature importance assessment in proteomic analysis using skin microdialysis DOI
Yoshiyasu Takefuji

Journal of Allergy and Clinical Immunology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

1
Neural ADMIXTURE for rapid genomic clustering DOI Creative Commons
Albert Dominguez Mantes, Daniel Mas Montserrat, Carlos D. Bustamante

et al.

Nature Computational Science, Journal Year: 2023, Volume and Issue: 3(7), P. 621 - 629

Published: July 6, 2023

Characterizing the genetic structure of large cohorts has become increasingly important as studies extend to massive, diverse biobanks. Popular methods decompose individual genomes into fractional cluster assignments with each representing a vector DNA variant frequencies. However, rapidly increasing biobank sizes, these have computationally intractable. Here we present Neural ADMIXTURE, neural network autoencoder that follows same modeling assumptions current standard algorithm, while reducing compute time by orders magnitude surpassing even fastest alternatives. One month continuous using ADMIXTURE can be reduced just hours ADMIXTURE. A multi-head approach allows offer further acceleration calculating multiple numbers in single run. Furthermore, models stored, allowing assignment performed on new data linear without needing share training samples.

Language: Английский

Citations

19
Traversing through the Mechanistic Event Analysis in IL-6 and IL-17 Signaling for a New Therapeutic Paradigm in NSCLC DOI Open Access

Riya Khilwani,

Shailza Singh

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(2), P. 1216 - 1216

Published: Jan. 19, 2024

IL-6 and IL-17 are paradoxical cytokines that progress inflammatory states in chronic diseases, including cancer. In lung cancer, their role has been elucidated to favor cancer development by modulating signaling mechanisms critical cellular growth. The intrinsic ability of these influence macroautophagy is yet another reason facilitate Here, we employed a systems immunology approach discover the mechanistic development. biological system, at later stages, activation NFkB stimulates immunosuppressive phenotypes achieve tolerating effects transformed cell. We found upregulation signaled M2 macrophages modulate tumor responses through autophagic intermediates inflammasome mediators. This caused immune perturbations microenvironment, which were associated with inflammation. To address states, performed triggered event analysis examine whether overexpressing effectors or downregulating suppressors may have an effect on reversal. Interestingly, inhibition regulators opposed model outcome increased response. Therefore, IL6-IL17-mediated regulation malignancy potentiate newer therapeutics for NSCLC.

Language: Английский

Citations

6
scLENS: data-driven signal detection for unbiased scRNA-seq data analysis DOI Creative Commons
Hyun Kim, Won Chang,

Seok Joo Chae

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: April 27, 2024

Abstract High dimensionality and noise have limited the new biological insights that can be discovered in scRNA-seq data. While reduction tools been developed to extract signals from data, they often require manual determination of signal dimension, introducing user bias. Furthermore, a common data preprocessing method, log normalization, unintentionally distort Here, we develop scLENS, tool circumvents long-standing issues distortion input. Specifically, identify primary cause during normalization effectively address it by uniformizing cell vector lengths with L2 normalization. utilize random matrix theory-based filtering robustness test enable data-driven threshold for dimensions. Our method outperforms 11 widely used performs particularly well challenging datasets high sparsity variability. To facilitate use provide user-friendly package automates accurate detection without time-consuming tuning.

Language: Английский

Citations

6
Ancestry: How researchers use it and what they mean by it DOI Creative Commons
Bege Dauda, Santiago J. Molina, Danielle S. Allen

et al.

Frontiers in Genetics, Journal Year: 2023, Volume and Issue: 14

Published: Jan. 23, 2023

Background: Ancestry is often viewed as a more objective and less objectionable population descriptor than race or ethnicity. Perhaps reflecting this, usage of the term "ancestry" rapidly growing in genetics research, with ancestry groups referenced many situations. The appropriate descriptors research an ongoing source debate. Sound normative guidance should rest on empirical understanding current usage; case ancestry, questions about how researchers use concept, what they mean by it, remain unanswered. Methods: Systematic literature analysis 205 articles at least tangentially related to human health from diverse disciplines that concept semi-structured interviews 44 lead authors some those articles. Results: relied structure key methodological approaches. Yet struggle define and/or offer definitions. For genetic but for many-including geneticists-ancestry only genetics. interviewees, explicitly equated ethnicity; others it distanced it. operationalized using multiple data types (including variation self-reported identities), though large fraction (26%) impossible tell which were used. Across there no consistent relates concepts structure), nor these relate each other. Beyond this conceptual confusion, practices summarizing patterns uninterrogated conventions. Continental labels are far most common type label applied groups. We observed instances slippage between reference racial Conclusion: practice highly ambiguous counterpart It not uniquely "biological" construct, does represent "safe haven" seeking avoid evoking ethnicity their work. Distinguishing broadly will be necessary part providing clarity.

Language: Английский

Citations

14
Study on hydrogeochemical assessment, groundwater quality index for drinking, seawater mixing index and human health risk assessment of nitrate and fluoride DOI
Gokulan Ravindiran,

Gorti Janardhan,

R. Sivarethinamohan

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101161 - 101161

Published: March 23, 2024

Language: Английский

Citations

5